{"id":"W6958547279","doi":"10.6084/m9.figshare.19687302.v2","title":"Surveillance and Privacy: Modern Concerns Regarding Technology","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Presentation (obstetrics); Face (sociological concept); Key (lock); Emerging technologies; Interrogation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004733115,0.0006262574,0.0004695222,0.00119017,0.0057814,0.01763397,0.001408695,0.01547512,0.03844627],"category_scores_gemma":[0.01142698,0.0003473864,0.0005804296,0.001197942,0.008757942,0.01468691,0.003782835,0.01411676,0.01187734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003688207,"about_ca_system_score_gemma":0.002355409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672924,"about_ca_topic_score_gemma":0.00389833,"domain_scores_codex":[0.9933302,0.002111407,0.0002546154,0.0006782529,0.003081993,0.0005435252],"domain_scores_gemma":[0.9923012,0.004827551,0.0004164688,0.0006653889,0.001526529,0.0002628174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001069038,0.00001431934,0.00008385572,0.00007504938,0.000002550147,0.0001629408,0.001492871,0.00009647758,0.000247575,0.6985966,0.2680131,0.03120394],"study_design_scores_gemma":[0.000001590092,0.000009909163,0.0001013174,0.0002415153,0.000002570012,0.0001741703,0.000525746,0.0001253535,0.0002313167,0.0454624,0.9531138,0.00001034387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001346794,0.01186573,0.006477196,0.2097906,0.008697992,0.00003966834,0.0001197785,0.0001944042,0.7614678],"genre_scores_gemma":[0.09992507,0.03003899,0.005512644,0.1945738,0.02840581,0.0001770825,0.0002249166,0.0007482897,0.6403934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03844627,"threshold_uncertainty_score":0.1286156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095644587862377,"score_gpt":0.2911493648921326,"score_spread":0.2601929190135088,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}